Your AI chatbot talks to customers. Who's watching what it says?
Independent platform that monitors every AI conversation in real time. Catches errors, data leaks, regulatory violations, and hacking attempts before they reach your customers.
AI bots talk to your customers without reliable oversight
LLMs fabricate facts, yield to manipulation, behave unpredictably, and give different answers to the same question. GPT-4 achieves only 9% accuracy on financial questions without supplementary data. None of the existing safety systems have solved this.
Compliance deadlines are approaching fast
Recommendations are becoming mandatory rules. Point-in-time checks are becoming continuous monitoring. All frameworks require human oversight, documentation, and auditability.
| Jurisdiction | Law / Standard | Requirements | Deadline |
|---|---|---|---|
| EU | EU AI Act + DORA | Mandatory continuous AI monitoring (Art. 72) | Aug 2026 — fines up to 3% of turnover |
| UK | PRA SS1/23 + FCA Consumer Duty | Mandatory monitoring; personal liability for senior managers | In effect |
| US | SR 11-7 + FS AI RMF (230 controls) | Mandatory independent model validation | In effect + states from 2026 |
| Singapore | MAS AI Risk Mgmt | Mandatory for high-risk AI | Expected 2026 |
| Hong Kong | SFC AI Circular | Mandatory continuous monitoring | In effect (Nov 2024) |
Three layers of real-time protection
AI Safeguard Finance is an independent control layer between the customer and your AI bot. It inspects every incoming request and every outgoing response in real time.
Inbound Filter
Customer Request Validation
Intercepts personal data (passport numbers, card numbers, account details), dangerous commands, and bot manipulation attempts before they reach the AI. Protects against attacks that succeed in 82–87% of cases without protection.
Outbound Control
AI Response Validation
Validates every response: task compliance, brand standards adherence, factual accuracy, absence of fabricated facts, absence of toxic language, regulatory compliance. Generates regulator-ready reports.
Quality Assessment
Conversation Evaluation
Independent evaluation of every conversation: task completion, response relevance, customer satisfaction, contextual accuracy. Continuous LLM-as-a-Judge scoring for every interaction.
Built for production workloads
Collaborative training without data exchange
Federated Learning enables multiple institutions to collectively train a shared model without transferring raw data. Each bank trains the model on its own data within its own perimeter. Only model updates leave the organization, never the data itself.
Data stays in place — by design
Not a configuration option but an architectural principle. Compliant with GDPR, GLBA, and DPA 2018.
Network effect as defensive moat
Every new customer strengthens the model for all. Platform value grows non-linearly with each participant.
Zero cold start
New customers receive from day one a model trained on the collective experience of the entire network. Time-to-value in days, not quarters.
Cross-jurisdictional intelligence
A fraud pattern detected at an Asian bank appears at a European bank within weeks. Share intelligence without sharing data.
EU
UK
US
SG
HK
Safeguard
Model
Built specifically for financial services
The only platform combining financial sector specialization, independence, collaborative learning, and production-grade speed.
The only player specialized in finance
Pre-built compliance modules for SR 11-7, EU AI Act, DORA, FCA Consumer Duty, MAS Guidelines, ESMA. Automated generation of regulator-ready reports. No competitor offers this.
Independence = audit integrity
AI Safeguard is an independent third party meeting SR 11-7 and PRA SS1/23 requirements. No conflicts of interest — pure audit integrity.
10–100ms inspection speed
Proprietary lightweight models deliver classification-level checks in 10–100 milliseconds, versus 1–9 seconds for standard LLM-based solutions. Critical for live conversations.
Works with any cloud and any AI model
Cloud Providers or on-premise. GPT, Claude, Llama, or proprietary models. AI Safeguard is a neutral platform that doesn't lock you into a single ecosystem.
See AI Safeguard in action
Schedule a demo to see how AI Safeguard Finance protects your AI chatbot conversations in real time.
EU AI Act high-risk requirements come into full effect on August 2, 2026. Act now.